Northwestern State vs. Lamar prediction favors Lamar to win in college football Week 5 [2026]

Using powerful machine learning and data analysis, we have re-simulated the outcome of Northwestern State vs. Lamar, forming part of our college football predictions coverage.

Our famous predictive model gives Lamar a 99.6% chance of beating Northwestern State. Our predicted final score has Lamar winning 47-6. According to our model, Northwestern State (+41.5) has a 51.1% chance of covering the spread, while the over/under total of 54.5 points has a 50.2% chance of staying under.

Latest betting odds

We have researched the best college football odds in America for this game, which are listed here:

• Spread: Northwestern State +41.5 (-110) / Lamar -41.5 (-112)
• Moneyline: Northwestern State , Lamar

All odds are correct at the time of publication and are subject to change.

Model picks and best bet

After matching our predictions against the best current odds, we can reveal our picks for each of the major markets in this matchup. Plus, find our best bet for the game below:

• Moneyline: Under @ -110 via DraftKings

According to our college football best bets, the top play to make on this game is Northwestern State +41.5.

These picks are based on our probabilities matched against the implied probabilities from the current available odds.

Game info & kickoff details

Saturday's college football game between Lamar and Northwestern State at Provost Umphrey Stadium is scheduled to begin at 7:00 PM ET.

• Who: Northwestern State vs. Lamar
• Date: Saturday, October 3, 2026
• Time: 7:00 PM ET/4:00PM PT
• Venue: Provost Umphrey Stadium

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Conclusion

We predict Lamar, with a 99.6% win probability, will likely beat Northwestern State in Saturday's college football matchup.

Additional tools and information for betting safely can be found in our Responsible Gambling hub.

This article's predictions and probabilities are generated by Dimers' proprietary College Football prediction model. Our editorial team reviews the resulting content for accuracy and presentation before publication.